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===Conceptual Design Reports===

JUNO Conceptual Design Report,
https://arxiv.org/abs/1508.07166

TAO Conceptual Design Report: A Precision Measurement of the Reactor Antineutrino Spectrum with Sub-percent Energy Resolution,
https://arxiv.org/abs/2005.08745

===Collaboration Papers===

======2022======

1) Sub-percent Precision Measurement of Neutrino Oscillation Parameters with JUNO,
https://arxiv.org/abs/2204.13249, submitted to CPC.

2) Mass Testing and Characterization of 20-inch PMTs for JUNO,
https://arxiv.org/abs/2205.08629, submitted to EPJC.

3) Prospects for Detecting the Diffuse Supernova Neutrino Background with JUNO,			
https://arxiv.org/abs/2205.08830, submitted to JCAP.

4) JUNO Physics and Detector,	
Prog. Part. Nucl. Phys. 123, (2022) 103927	
https://doi.org/10.1016/j.ppnp.2021.103927	
https://arxiv.org/abs/2104.02565

5) Damping signatures at JUNO, a medium-baseline reactor neutrino oscillation experiment,
JHEP 06 (2022) 062.
https://doi.org/10.1007/JHEP06(2022)062			
https://arxiv.org/abs/2112.14450

======2021======

6) Radioactivity control strategy for the JUNO detector,
J. High Energy Phys. 11, (2021) 102.	
https://doi.org/10.1007/JHEP11(2021)102	
https://arxiv.org/abs/2107.03669

7) The design and sensitivity of JUNO’s scintillator radiopurity pre-detector OSIRIS,	
Eur. Phys. J. C 81, (2021) 973	
https://doi.org/10.1140/epjc/s10052-021-09544-4	
https://arxiv.org/abs/2103.16900

8) JUNO sensitivity to low energy atmospheric neutrino spectra,	
Eur. Phys. J. C 81, (2021) 887	
https://doi.org/10.1140/epjc/s10052-021-09565-z	
https://arxiv.org/abs/2103.09908

9) Calibration strategy of the JUNO experiment,	
J. High Energy Phys. 03, (2021) 004	
https://doi.org/10.1007/JHEP03(2021)004	
https://arxiv.org/abs/2011.06405

10) Feasibility and physics potential of detecting B-8 solar neutrinos at JUNO,	
Chin. Phys. C 45, (2021) 023004	
https://doi.org/10.1088/1674-1137/abd92a
https://arxiv.org/abs/2006.11760

11) Optimization of the JUNO liquid scintillator composition using a Daya Bay antineutrino detector,	
Nucl. Instrum. Methods A 988, (2021) 164823	
https://doi.org/10.1016/j.nima.2020.164823	
https://arxiv.org/abs/2007.00314

======2016======

12) Neutrino Physics with JUNO, 
J.Phys.G 43 (2016) 3, 030401
https://doi.org/10.1088/0954-3899/43/3/030401
https://arxiv.org/abs/1507.05613

===Physics Papers (by memebers of JUNO collaboration)===

======Mass Ordering Proposal======

(1) Determination of the neutrino mass hierarchy at an intermediate baseline, 
Liang Zhan, Yifang Wang, Jun Cao, Liangjian Wen, Phys. Rev. D 78, (2008) 111103,
https://doi.org/10.1103/PhysRevD.78.111103

(2) Experimental Requirements to Determine the Neutrino Mass Hierarchy Using Reactor Neutrinos, 
Liang Zhan, Yifang Wang, Jun Cao, Liangjian Wen, Phys. Rev. D 79,(2009) 073007
https://doi.org/10.1103/PhysRevD.79.073007

(3) Unambiguous determination of the neutrino mass hierarchy using reactor neutrinos, 
Yu-Feng Li, Jun Cao, Yifang Wang, Liang Zhan, 
Phys. Rev. D 88, (2013) 013008
https://doi.org/10.1103/PhysRevD.88.013008

======Reactor Neutrinos======

(1) Terrestrial matter effects on reactor antineutrino oscillations at JUNO or RENO-50: how small is small?
Yu-Feng Li, Yifang Wang, Zhi-zhong Xing,
Chin.Phys.C 40 (2016) 9, 091001.
https://doi.org/10.1088/1674-1137/40/9/091001
https://arxiv.org/abs/1605.00900

(2) Synergies and prospects for early resolution of the neutrino mass ordering,	
Anatael Cabrera, et al.,	
Sci.Rep. 12 (2022) 1, 5393
https://doi.org/10.1038/s41598-022-09111-1
https://arxiv.org/abs/2008.11280
	
(3) Potential impact of sub-structure on the determination of neutrino mass hierarchy at medium-baseline reactor neutrino oscillation experiments,
Zhaokan Chen, et al.,	
Eur.Phys.J.C 80 (2020) 12, 1112.	
https://doi.org/10.1140/epjc/s10052-020-08664-7	
https://arxiv.org/abs/2004.11659
	
(4) Why matter effects matter for JUNO,
Amir N.Khan, Hiroshi Nunokawa, Stephen J.Parke,	
Phys.Lett.B 803 (2020) 135354.	
https://doi.org/10.1016/j.physletb.2020.135354	
https://arxiv.org/abs/1910.12900

(5) Indirect unitarity violation entangled with matter effects in reactor antineutrino oscillations,
Yu-Feng Li, Zhi-zhong Xing, Jing-yu Zhu,	
Phys.Lett.B 782 (2018) 578-588
https://doi.org/10.1016/j.physletb.2018.05.079
https://arxiv.org/abs/1802.04964		

(6) A framework for testing leptonic unitarity by neutrino oscillation experiments,
C.S. Fong, H. Minakata, H. Nunokawa,
JHEP 2017 (2017) 114. 	
https://doi.org/10.1007/JHEP02(2017)114	
https://arxiv.org/abs/1609.08623

(7) Mass hierarchy sensitivity of medium baseline reactor neutrino experiments with multiple detectors, 
Hongxin Wang, et al.,
Nucl.Phys.B 918 (2017) 245-256.
https://doi.org/10.1016/j.nuclphysb.2017.03.002
https://arxiv.org/abs/1602.04442

(8) Combined sensitivity of JUNO and KM3NeT/ORCA to the neutrino mass ordering,
S. Aiello, et al.,
JHEP 03 (2022) 055.
https://doi.org/10.1007/JHEP03(2022)055
https://arxiv.org/abs/2108.06293

(9) Combined sensitivity to the neutrino mass ordering with JUNO, the IceCube Upgrade, and PINGU,
M.G. Aartsen, et al.,
Phys.Rev.D 101 (2020) 3, 032006.
https://doi.org/10.1103/PhysRevD.101.032006
https://arxiv.org/abs/1911.06745

======Solar Neutrinos======

(1) Potential for a precision measurement of solar pp neutrinos in the Serappis Experiment,
Lukas Bieger, et al.,
https://arxiv.org/abs/2109.10782

(2) Unambiguously Resolving the Potential Neutrino Magnetic Moment Signal at Large Liquid Scintillator Detectors,
Ziping Ye, Feiyang Zhang, Donglian Xu, Jianglai Liu,
Chin.Phys.Lett. 38 (2021) 11, 111401.	
https://doi.org/10.1088/0256-307X/38/11/111401	
https://arxiv.org/abs/2103.11771

(3) Sensitivity to neutrino-antineutrino transitions for boron neutrinos,
S.J.Li, J.J.Ling, N.Raper, M.V.Smirnov,
Nucl.Phys.B 944 (2019) 114661.
https://doi.org/10.1016/j.nuclphysb.2019.114661	
https://arxiv.org/abs/1905.05464

======Atmospheric Neutrinos======

(1) Neutral-current background induced by atmospheric neutrinos at large liquid-scintillator detectors. I. Model predictions,
Jie Cheng, Yu-Feng Li, Liang-Jian Wen, and Shun Zhou
Phys.Rev.D 103 (2021) 5, 053001	
https://doi.org/10.1103/PhysRevD.103.053001	
https://arxiv.org/abs/2008.04633		

(2) Neutral-current background induced by atmospheric neutrinos at large liquid-scintillator detectors. II. Methodology for in situ measurements,
Jie Cheng, Yu-Feng Li, Hao-Qi Lu, and Liang-Jian Wen
Phys.Rev.D 103 (2021) 5, 053002	
https://doi.org/10.1103/PhysRevD.103.053002	
https://arxiv.org/abs/2009.04085

(3) Low energy neutrinos from stopped muons in the Earth,
Wan-Lei Guo,
Phys.Rev.D 99 (2019) 7, 073007.
https://doi.org/10.1103/PhysRevD.99.073007
https://arxiv.org/abs/1812.04378

======Supernova Neutrinos======
		
(1) Constraining sterile neutrinos by core-collapse supernovae with multiple detectors,
Jian Tang, TseChun Wang, Meng-Ru Wu
JCAP 10 (2020) 038
https://doi.org/10.1088/1475-7516/2020/10/038
https://arxiv.org/abs/2005.09168

(2) Prospects for Pre-supernova Neutrino Observation in Future Large Liquid-scintillator Detectors,
Hui-Ling Li, Yu-Feng Li, Liang-Jian Wen, Shun Zhou
JCAP 05 (2020) 049
https://doi.org/10.1088/1475-7516/2020/05/049
https://arxiv.org/abs/2003.03982
	
(3) Model-independent approach to the reconstruction of multiflavor supernova neutrino energy spectra,
Hui-Ling Li, Yu-Feng Li, Liang-Jian Wen, Shun Zhou
Phys.Rev.D 99 (2019) 12, 123009	
https://doi.org/10.1103/PhysRevD.99.123009
https://arxiv.org/abs/1903.04781
	
(4) Towards a complete reconstruction of supernova neutrino spectra in future large liquid-scintillator detectors,
Hui-Ling Li, Yu-Feng Li, Meng Wang, Liang-Jian Wen, Shun Zhou
Phys.Rev.D 97 (2018) 6, 063014	
https://doi.org/10.1103/PhysRevD.97.063014
https://arxiv.org/abs/1712.06985

(5) Getting the most from the detection of Galactic supernova neutrinos in future large liquid-scintillator detectors,
Jia-Shu Lu, Yu-Feng Li, and Shun Zhou	
Phys.Rev.D 94 (2016) 2, 023006	
https://doi.org/10.1103/PhysRevD.94.023006	
https://arxiv.org/abs/1605.07803		

(6) Constraining Absolute Neutrino Masses via Detection of Galactic Supernova Neutrinos at JUNO,
Jia-Shu Lu, Jun Cao, Yu-Feng Li, and Shun Zhou	
JCAP 05 (2015) 044 
https://doi.org/10.1088/1475-7516/2015/05/044
https://arxiv.org/abs/1412.7418

(7) Testing MSW effect in Supernova Explosion with Neutrino event rates,
Kwang-Chang Lai, C. S. Jason Leung, Guey-Lin Lin
https://arxiv.org/abs/2001.08543

======Diffuse Supernova Neutrino Background======

(1) Prospects for the Detection of the Diffuse Supernova Neutrino Background with the Experiments SK-Gd and JUNO,
Yu-Feng Li, Mark Vagins, Michael Wurm
Universe 8 (2022) 3, 181
https://doi.org/10.3390/universe8030181
https://arxiv.org/abs/2201.12920

======Geo Neutrinos======

(1) JULOC: A local 3-D high-resolution crustal model in South China for forecasting geoneutrino measurements at JUNO,
RuohanGao, et al,
Phys.Earth Planet.Interiors 299 (2020) 106409.
https://doi.org/10.1016/j.pepi.2019.106409
https://arxiv.org/abs/1903.11871
	
(2) Non-negligible oscillation effects in the crustal geoneutrino calculations,
Xin Mao, Ran Han, and Yu-Feng Li,
Phys.Rev.D 100 (2019) 11, 113009.
https://doi.org/10.1103/PhysRevD.100.113009
https://arxiv.org/abs/1911.12302	

(3) GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment
M. Reguzzoni, et al,
J.Geophys.Res.Solid Earth 124 (2019) 4, 4231-4249.
https://doi.org/10.1029/2018JB016681
https://arxiv.org/abs/1901.01945

(4) Potential of Geo-neutrino Measurements at JUNO,
Ran Han, Yu-Feng Li, Liang Zhan, William F. McDonough, Jun Cao, Livia Ludhova,
Chin.Phys.C 40 (2016) 3, 033003.
https://doi.org/10.1088/1674-1137/40/3/033003
https://arxiv.org/abs/1510.01523

======Dark Matter======

(1) Constraining primordial black holes as dark matter at JUNO,
Sai Wang, Dong-Mei Xia, Xukun Zhang, Shun Zhou, Zhe Chang,
Phys.Rev.D 103 (2021) 4, 043010.
https://doi.org/10.1103/PhysRevD.103.043010
https://arxiv.org/abs/2010.16053		

(2) Detecting electron neutrinos from solar dark matter annihilation by JUNO,
Wan-Lei Guo,
JCAP 01 (2016) 039.
https://doi.org/10.1088/1475-7516/2016/01/039
https://arxiv.org/abs/1511.04888

======Nucleon Decay======

(1) Implementation of residual nucleus de-excitations associated with proton decays in 12C based on the GENIE generator and TALYS code,
Hang Hu, Wan-Lei Guo, Jun Su, Wei Wang, Cenxi Yuan,
Phys.Lett.B 831 (2022) 137183	
https://doi.org/10.1016/j.physletb.2022.137183	
https://arxiv.org/abs/2108.11376

(2) Exploring neutrinos from proton decays catalyzed by GUT monopoles in the Sun,
Hang Hu, Jie Cheng, Wan-Lei Guo, Wei Wang,
JCAP, in press.
https://arxiv.org/abs/2201.02386

======New Physics======
	
(1) Towards the meV limit of the effective neutrino mass in neutrinoless double-beta decays,
Jun Cao, et al,
Chin.Phys.C 44 (2020) 3, 031001.
https://doi.org/10.1088/1674-1137/44/3/031001	
https://arxiv.org/abs/1908.08355		

(2) Physics potential of searching for 0νββ decays in JUNO,
Jie Zhao, Liang-Jian Wen, Yi-Fang Wang, Jun Cao,
Chin.Phys.C 41 (2017) 5, 053001.
https://doi.org/10.1088/1674-1137/41/5/053001	
https://arxiv.org/abs/1610.07143

(3) Light dark bosons in the JUNO-TAO neutrino detector,
M. Smirnov, et al.,
Phys.Rev.D 104 (2021) 11, 116024.
https://doi.org/10.1103/PhysRevD.104.116024
https://arxiv.org/abs/2109.04276

(4) Studying the neutrino wave-packet effects at medium-baseline reactor neutrino oscillation experiments and the potential benefits of an extra detector,
Zhaokan Cheng, WeiWang, Chan Fai Wong, Jingbo Zhang,
Nucl.Phys.B 964 (2021) 115304.	
https://doi.org/10.1016/j.nuclphysb.2021.115304	
https://arxiv.org/abs/2009.06450

(5) The sensitivity to electron antineutrinos from the binary neutron star systems at medium-baseline reactor neutrino oscillation experiment(s),
Zhaokan Cheng, WeiWang, Chan Fai Wong, Jingbo Zhang,
JHEAp 28 (2020) 1-9.	
https://doi.org/10.1016/j.jheap.2020.10.001
		
(6) Constraining visible neutrino decay at KamLAND and JUNO,	
Yago P. Porto-Silva, et al.,	
Eur.Phys.J.C 80 (2020) 10, 999.	
https://doi.org/10.1140/epjc/s10052-020-08573-9
https://arxiv.org/abs/2002.12134

(7) Exploring detection of nuclearites in a large liquid scintillator neutrino detector,
Wan-Lei Guo, Cheng-Jun Xia, Tao Lin, Zhi-Min Wang,
Phys.Rev.D 95 (2017) 1, 015010.	
https://doi.org/10.1103/PhysRevD.95.015010	
https://arxiv.org/abs/1611.00166

(8) Tests of Lorentz and CPT Violation in the Medium Baseline Reactor Antineutrino Experiment,
Yu-Feng Li, Zhen-hua Zhao,
Phys.Rev.D 90 (2014) 11, 113014.
https://doi.org/10.1103/PhysRevD.90.113014
https://arxiv.org/abs/1409.6970

(9) Shifts of neutrino oscillation parameters in reactor antineutrino experiments with non-standard interactions,
Yu-Feng Li, Ye-Ling Zhou,
Nucl.Phys.B 888 (2014) 137-153.
https://doi.org/10.1016/j.nuclphysb.2014.09.013
https://arxiv.org/abs/1408.6301

======Others======

(1) Potential of octant degeneracy resolution in JUNO,
M.V. Smirnov, Zhoujun Hu, Shuaijie Li, Jiajie Ling
Chin.Phys.C 43 (2019) 3, 033001.	
https://doi.org/10.1088/1674-1137/43/3/033001
https://arxiv.org/abs/1808.03795

(2) The possibility of leptonic CP-violation measurement with JUNO,
M.V. Smirnov, Zhoujun Hu, Shuaijie Li, Jiajie Ling,
Nucl.Phys.B 931 (2018) 437-445.
https://doi.org/10.1016/j.nuclphysb.2018.05.003
https://arxiv.org/abs/1802.03677

===Technical Papers (by memebers of JUNO collaboration)===

======Central Detector======

(1) Laser measurement system for acrylic transmittance of JUNO central detector,
Zhaohan Li, et al.,
Rad.Det.Tech.Meth. 5 (2021) 3, 356-363

(2) The stress measurement system for the JUNO Central Detector acrylic panels,
X. Yang, et al.,
JINST 16 (2021) 12, P12040.
https://doi.org/10.1088/1748-0221/16/12/P12040

(3) Structure design and compression experiment of the supporting node for JUNO PMMA detector,
Xiaohui Qian, et al.,
Radiat Detect Technol Methods 4 (2020) 345-355.
https://doi.org/10.1007/s41605-020-00190-0

(4) The measurement system of acrylic transmittance for the JUNO central detector,	
Xiaoyu Yang, et al.,
Radiat Detect Technol Methods 4, 284–292 (2020).
https://doi.org/10.1007/s41605-020-00182-0
	
(5) FE Analysis on the Thermoforming Behaviour of Large Spherical PMMA Panelapplied in JUNO,
Xiaohui Qian, et al.,
IOP Conf. Ser.: Mater. Sci. Eng. 774 012148.
https://doi.org/10.1088/1757-899x/774/1/012148		

(6) Thermal reliability analysis of the central detector of JUNO,
Xiaoyu Yang, et al.,
Radiat Detect Technol Methods 3, 64 (2019).
https://doi.org/10.1007/s41605-019-0142-y		

(7) The design of the small prototype for the central detector of JUNO,
Xiaoyu Yang, et al,
Radiat Detect Technol Methods 2, 46 (2018).
https://doi.org/10.1007/s41605-018-0073-z

======Liquid Scintillator======

(1) Measurements of Rayleigh Ratios in Linear Alkylbenzene,
Miao Yu et al., 
Rev.Sci.Inst. 93 (2022) 063106.
https://doi.org/10.1063/5.0091847
https://arxiv.org/abs/2203.03126

(2) Exploring the intrinsic energy resolution of liquid scintillator to approximately 1 MeV electrons,
Y. Deng, et al., 
JINST 17 (2022) 04, P04018.
https://doi.org/10.1088/1748-0221/17/04/P04018
https://arxiv.org/abs/2203.05200	

(3) Development of water extraction system for liquid scintillator purification of JUNO
Y. Deng, et al.,
Nucl.Instrum.Meth.A 1027 (2022) 166251.
https://doi.org/10.1016/j.nima.2021.166251	
https://arxiv.org/abs/2109.07317	

(4) The replacement system of the JUNO liquid scintillator pilot experiment at Daya Bay,
Wenqi Yan, et al.,
Nucl.Instrum.Meth.A 996 (2021) 165109.
https://doi.org/10.1016/j.nima.2021.165109
https://arxiv.org/abs/2011.05655

(5) Radon activity measurement of JUNO nitrogen,	
X. Yu, et al.,	
JINST 15 (2020) 09, P09001.	
https://doi.org/10.1088/1748-0221/15/09/P09001		

(6) Distillation and stripping pilot plants for the JUNO neutrino detector: Design, operations and reliability,
P. Lombardi, et al.,
Nucl.Instrum.Meth.A 925 (2019) 6-17.
https://doi.org/10.1016/j.nima.2019.01.071
https://arxiv.org/abs/1902.05288

(7) Thermal diffusivity and specific heat capacity of linear alkylbenzene
Wenjie Wu, et al.,	
Phys.Scripta 94 (2019) 10, 105701.	
https://doi.org/10.1088/1402-4896/ab1cea	
https://arxiv.org/abs/1904.12147

(8) Measurements of the Lifetime of Orthopositronium in the LAB-Based Liquid Scintillator of JUNO,
Mario Schwarz, et al.,
Nucl.Instrum.Meth.A 922 (2019) 64-70.
https://doi.org/10.1016/j.nima.2018.12.068.
https://arxiv.org/abs/1804.09456

(9) Light Absorption Properties of the High Quality Linear Alkylbenzene for the JUNO Experiment,
Dewen Cao, et al.,
Nucl.Instrum.Meth.A 927 (2019) 230-235.
https://doi.org/10.1016/j.nima.2019.01.077
https://arxiv.org/abs/1801.08363

(10) Densities, isobaric thermal expansion coefficients and isothermal compressibilities of linear alkylbenzene, 
Xiang Zhou, et al., 
Phys. Scr. 90 (2015) 055701.
https://doi.org/10.1088/0031-8949/90/5/055701
https://arxiv.org/abs/1408.0877

(11) Rayleigh scattering of linear alkylbenzene in large liquid scintillator detectors,
Xiang Zhou, et al.,
Rev. Sci. Instrum. 86 (2015) 073310.
https://doi.org/10.1063/1.4927458
https://arxiv.org/abs/1504.00987

(12) Spectroscopic study of light scattering in linear alkylbenzene for liquid scintillator neutrino detectors,
Xiang Zhou, et al., 
Eur. Phys. J. C 75 (2015) 545.
https://doi.org/10.1140/epjc/s10052-015-3784-z
https://arxiv.org/abs/1504.00986

======PMT Instrumentation======

(1) Database system for managing 20,000 20-inch PMTs at JUNO,
J. Wang, et al.,
Nucl.Sci.Tech. 33 (2022) 24.
https://doi.org/10.1007/s41365-022-01009-x

(2) A container-based facility for testing 20'000 20-inch PMTs for JUNO,
B. Wonsak, et al.,
JINST 16 (2021) 08, T08001.	
https://doi.org/10.1088/1748-0221/16/08/T08001
https://arxiv.org/abs/2103.10193

(3) Gain and charge response of 20” MCP and dynode PMTs,
H.Q. Zhang, et al.,
JINST 16 (2021) 08, T08009.
https://doi.org/10.1088/1748-0221/16/08/T08009
https://arxiv.org/abs/2103.14822

(4) A quantitative approach to select PMTs for large detectors,
L.J. Wen, et al.,
Nucl.Instrum.Meth.A 947 (2019) 162766.
https://doi.org/10.1016/j.nima.2019.162766
https://arxiv.org/abs/1903.12595

(5) Comparison on PMT Waveform Reconstructions with JUNO Prototype,
H.Q. Zhang, et al.,
JINST 14 (2019) 08, T08002.
https://doi.org/10.1088/1748-0221/14/08/T08002
https://arxiv.org/abs/1905.03648

(6) A study of the new hemispherical 9-inch PMT,
F. Luo, et al.,	
JINST 14 (2019) 02, T02004.
https://doi.org/10.1088/1748-0221/14/02/T02004
https://arxiv.org/abs/1801.02737

(7) Study on Relative Collection Efficiency of PMTs with Point Light,
H.Q. Zhang, et al.,
RDTM 3 (2019) 20.
https://doi.org/10.1007/s41605-019-0099-x
https://arxiv.org/abs/1810.04550

(8) The study of linearity and detection efficiency for 20″ photomultiplier tube,
A.B. Yang, et al.,
RDTM 3 (2019) 11.
https://doi.org/10.1007/s41605-018-0088-5

(9) Signal Optimization with HV divider of MCP-PMT for JUNO,
F.J. Luo, et al.,
Springer Proc.Phys. 213 (2018) 309-314.
https://doi.org/10.1007/978-981-13-1316-5_58
https://arxiv.org/abs/1803.03746

(10) Large photocathode 20-inch PMT testing methods for the JUNO experiment,
N. Anfimov, et al.,
JINST 12 (2017) 06, C06017.
https://doi.org/10.1088/1748-0221/12/06/C06017
https://arxiv.org/abs/1705.05012

(11) Study of TTS for a 20-inch dynode PMT,
D.H. Liao, et al.,
Chin.Phys.C 41 (2017) 7, 076001.
https://doi.org/10.1088/1674-1137/41/7/076001

(12) PMT overshoot study for the JUNO prototype detector,
F.J. Luo, et al.,
Chin.Phys.C 40 (2016) 9, 096002.
https://doi.org/10.1088/1674-1137/40/9/096002
https://arxiv.org/abs/1602.06080

======Small PMTs======

(1) Study of the front-end signal for the 3-inch PMTs instrumentation in JUNO,
Diru Wu, et al.,
Radiat Detect Technol Methods 6 (2022) 349
https://doi.org/10.1007/s41605-022-00324-6
https://arxiv.org/abs/2204.02612

(2) Mass production and characterization of 3-inch PMTs for the JUNO experiment,
Chuanya Cao, et al.,
Nucl.Instrum.Meth.A 1005 (2021) 165347.
https://doi.org/10.1016/j.nima.2021.165347
https://arxiv.org/abs/2102.11538

(3) CATIROC: an integrated chip for neutrino experiments using photomultiplier tubes,
S. Conforti, et al.,
JINST 16 (2021) 05, P05010.
https://doi.org/10.1088/1748-0221/16/05/P05010
https://arxiv.org/abs/2012.01565

(4) Characterization of 3-inch photomultiplier tubes for the JUNO central detector,
Nan Li, et al.,	
Radiat Detect Technol Methods 3 (2019) 6.
https://doi.org/10.1007/s41605-018-0085-8

======Veto Detectors======

(1) The study of active geomagnetic shielding coils system for JUNO,
G. Zhang, et al.,
JINST 16 (2021) 12, A12001.
https://doi.org/10.1088/1748-0221/16/10/T10004
https://arxiv.org/abs/2106.09998

(2) Developing the radium measurement system for the water Cherenkov detector of the Jiangmen Underground Neutrino Observatory,
L.F. Xie, et al.,
Nucl.Instrum.Meth.A 976 (2020) 164266.
https://doi.org/10.1016/j.nima.2020.164266
https://arxiv.org/abs/1906.06895

(3) Study on the radon removal for the water system of Jiangmen Underground Neutrino Observatory,
C. Guo, et al.,
Radiat Detect Technol Methods 2 (2018) 48.
https://doi.org/10.1007/s41605-018-0077-8

(4) The development of 222Rn detectors for JUNO prototype,
Y. P. Zhang,, et al.,
Radiat Detect Technol Methods 2 (2018) 5.
https://doi.org/10.1007/s41605-017-0029-8
https://arxiv.org/abs/1710.03401

(5) Discriminating cosmic muons and radioactivity using a liquid scintillator fiber detector,
Y.P. Zhang, et al.,
JINST 12 (2017) 03, P03015.
https://doi.org/10.1088/1748-0221/12/03/P03015
https://arxiv.org/abs/1608.08307

======Electronics and Trigger======

(1) Embedded readout electronics R&D; for the large PMTs in the JUNO experiment,
M.Bellatoa, et al.,
Nucl.Instrum.Meth.A 985 (2021) 164600.
https://doi.org/10.1016/j.nima.2020.164600
https://arxiv.org/abs/2003.08339

(2) A 4 GHz phase locked loop design in 65 nm CMOS for the Jiangmen Underground Neutrino Observatory detector,
N. Parkalian, et al., JINST 13 (2018)02, P02010.
https://doi.org/10.1088/1748-0221/13/02/p02010

======Calibration======

(1) A Precise Method to Determine the Energy Scale and Resolution using Gamma Calibration Sources in a Liquid Scintillator Detector,
Feiyang Zhang, et al.,
JINST 16 (2021) T08007.
https://doi.org/10.1088/1748-0221/16/08/T08007
https://arxiv.org/abs/2106.06424

(2) The automatic calibration unit in JUNO,
Jiaqi Hui, et al.,
JINST 16 (2021) 08, T08008.
https://doi.org/10.1088/1748-0221/16/08/T08008
https://arxiv.org/abs/2104.02579

(3) Construction and Simulation Bias Study of The Guide Tube Calibration System for JUNO,
Yuhang Guo, et al.,
JINST 16 (2021) T07005.
https://doi.org/10.1088/1748-0221/16/07/T07005
https://arxiv.org/abs/2103.04602

(4) Cable loop calibration system for Jiangmen Underground Neutrino Observatory,
Yuanyuan Zhang, et al.,
Nucl.Instrum.Meth.A 988 (2021) 164867.
https://doi.org/10.1016/j.nima.2020.164867
https://arxiv.org/abs/2011.02183

(5) Design of the Guide Tube Calibration System for the JUNO experiment,
Yuhang Guo, et al.,
JINST 14 (2019) 09, T09005.
https://doi.org/10.1088/1748-0221/14/09/T09005
https://arxiv.org/abs/1905.02077

(6) Ultrasonic positioning system for the calibration of central detector,
Guo-Lei Zhu, et al.,
Nucl.Sci.Tech. 30 (2019) 1, 5.
https://doi.org/10.1007/s41365-018-0530-x

======TAO======

(1) Calibration Strategy of the JUNO-TAO Experiment,
Hangkun Xu, et al.,
https://arxiv.org/abs/2204.03256

(2) A liquid scintillator for a neutrino Detector working at -50 degree,
Zhangquan Xie, et al.,
Nucl.Instrum.Meth.A 1009 (2021) 165459.
https://doi.org/10.1016/j.nima.2021.165459
https://arxiv.org/abs/2012.11883

(3) Study of Silicon Photomultiplier Performance at Different Temperatures,
N.Anfimov, et al.,
Nucl.Instrum.Meth.A 997 (2021) 165162.
https://doi.org/10.1016/j.nima.2021.165162
https://arxiv.org/abs/2005.10665	

(4) Reflectance of Silicon Photomultipliers in Linear Alkylbenzene,
W. Wang, et al.,
Nucl.Instrum.Meth.A 973 (2020) 164171.
https://doi.org/10.1016/j.nima.2020.164171
https://arxiv.org/abs/2002.04218

(5) Evaluation of the KLauS ASIC at low temperature,
Wei Wang, et al.,
Nucl.Instrum.Meth.A 996 (2021) 165110.
https://doi.org/10.1016/j.nima.2021.165110
https://arxiv.org/abs/2011.05643

======Low Background======

(1) A practical approach of high precision U and Th concentration measurement in acrylic,
Chuanya Cao, et al.,
Nucl.Instrum.Meth.A 1004 (2021) 165377.
https://doi.org/10.1016/j.nima.2021.165377
https://arxiv.org/abs/2011.06817

(2) Co-precipitation approach to measure amount of 238U in copper to sub-ppt level using ICP-MS,
Ya-Yun Ding, Meng-Chao Liu, Jie Zhao, Wen-Qi Yan, Liang-Hong Wei, Zhi-Yong Zhang, Liang-Jian Wen,
Nucl.Instrum.Meth.A 941 (2019) 162335.
https://doi.org/10.1016/j.nima.2019.162335
https://arxiv.org/abs/2003.12229

(3) 222Rn contamination mechanisms on acrylic surfaces,
M. Nastasi, et al.,
https://arxiv.org/abs/1911.04836

(4) Study on the large area MCP-PMT glass radioactivity reduction,
Xuantong Zhang, et al.,
Nucl.Instrum.Meth.A 898 (2018) 67-71.
https://doi.org/10.1016/j.nima.2018.05.008
https://arxiv.org/abs/1710.09965

======Software Framework======

(1) GDML based geometry management system for offline software in JUNO,
Kaijie Li, et al.,
Nucl.Instrum.Meth.A 908 (2018) 43-48.
https://doi.org/10.1016/j.nima.2018.08.008		

(2) A ROOT Based Event Display Software for JUNO,
Z. You, et al.	JINST 13 (2018) 02, T02002.
https://doi.org/10.1088/1748-0221/13/02/T02002	
https://arxiv.org/abs/1712.07603

(3) Design and Development of JUNO Event Data Model,
Teng Li, et al., 
Chin.Phys.C 41 (2017) 6, 066201.
https://doi.org/10.1088/1674-1137/41/6/066201
https://arxiv.org/abs/1702.04100

======Simulation======

(1) A new optical model of a photomultiplier tube,
Yaoguang Wang, Guofu Cao, Liangjian Wen, Yifang Wang,
Eur.Phys.J.C 82 (2022) 4, 329.
https://doi.org/10.1140/epjc/s10052-022-10288-y
https://arxiv.org/abs/2204.02703

(2) Improving the Energy Resolution of the Reactor Antineutrino Energy Reconstruction with Positron Direction,
Lianghong Wei, Liang Zhan, Jun Cao, Wei Wang,
RDTM, 4 (2020) 356–361.
https://doi.org/10.1007/s41605-020-00191-z
https://arxiv.org/abs/2005.05034

(3) A complete optical model for liquid-scintillator detectors,
Yan Zhang, Ze-Yuan Yu, Xin-Ying Li, Zi-Yan Deng, Liang-Jian Wen,
Nucl.Instrum.Meth.A 967 (2020) 163860.
https://doi.org/10.1016/j.nima.2020.163860
https://arxiv.org/abs/2003.12212

(4) A semi-analytical energy response model for low-energy events in JUNO,
P. Kampmann, Y. Cheng, L. Ludhova,
JINST 15 (2020) 10, P10007.
https://doi.org/10.1088/1748-0221/15/10/P10007
https://arxiv.org/abs/2006.03461	

(5) Capability of detecting low energy events in JUNO Central Detector,
X. Fang, et al.,
JINST 15 (2020) 03, P03020.
https://doi.org/10.1088/1748-0221/15/03/P03020
https://arxiv.org/abs/1912.01864	

(6) Fast Muon Simulation in the JUNO Central Detector,
Tao Lin, et al., 
Chin.Phys.C 40 (2016) 8, 086201.
https://doi.org/10.1088/1674-1137/40/8/086201
https://arxiv.org/abs/1602.00056	

======Reconstruction======

(1) Improving the machine learning based vertex reconstruction for large liquid scintillator detectors with multiple types of PMTs,
Zi-Yuan Li, et al.,
https://arxiv.org/abs/2205.04039

(2) Reconstruction of Muon Bundle in the JUNO Central Detector,
Cheng-Feng Yang, et al.,
https://arxiv.org/abs/2201.11321

(3) Muon reconstruction with a convolutional neural network in the JUNO detector,
Yan Liu, et al.,
Rad.Det.Tech.Meth. 5 (2021) 3, 364-372.
https://doi.org/10.1007/s41605-021-00259-4
https://arxiv.org/abs/2103.11939

(4) Vertex and energy reconstruction in JUNO with machine learning methods,
Zhen Qian, et al., 
Nucl.Instrum.Meth.A 1010 (2021) 165527.
https://doi.org/10.1016/j.nima.2021.165527
https://arxiv.org/abs/2101.04839
	
(5) Improving the energy uniformity for large liquid scintillator detectors,
Guihong Huang, et al.,
Nucl.Instrum.Meth.A 1001 (2021) 165287.
https://doi.org/10.1016/j.nima.2021.165287	
https://arxiv.org/abs/2102.03736

(6) Event vertex and time reconstruction in large-volume liquid scintillator detectors,	
Zi-Yuan Li, et al.,
Nucl.Sci.Tech. 32 (2021) 5, 49.
https://doi.org/10.1007/s41365-021-00885-z
https://arxiv.org/abs/2101.08901
	
(7) Particle Identification at MeV Energies in JUNO,
H. Rebber, L. Ludhova, B. Wonsak and Y. Xu,
JINST 16 (2021) 01, P01016.
https://doi.org/10.1088/1748-0221/16/01/P01016
https://arxiv.org/abs/2007.02687	

(8) Comparison on PMT Waveform Reconstructions with JUNO Prototype,
H.Q. Zhang, et al.,
JINST 14 (2019) 08, T08002.
https://doi.org/10.1088/1748-0221/14/08/T08002
https://arxiv.org/abs/1905.03648

(9) A new method of energy reconstruction for large spherical liquid scintillator detectors,
W. Wu, M. He, X. Zhou and H. Qiao,
JINST 14 (2019) 03, P03009.
https://doi.org/10.1088/1748-0221/14/03/P03009
https://arxiv.org/abs/1812.01799

(10) Muon Tracking with the fastest light in the JUNO Central Detector, 
Kun Zhang, Miao He, Weidong Li, Jilei Xu,
Radiat Detect Technol Methods 2 (2018) 13.
https://doi.org/10.1007/s41605-018-0040-8
https://arxiv.org/abs/1803.10407
	
(11) A vertex reconstruction algorithm in the central detector of JUNO,
Q. Liu, et al.,
JINST 13 (2018) 09, T09005.
https://doi.org/10.1088/1748-0221/13/09/T09005
https://arxiv.org/abs/1803.09394
	
(12) Muon reconstruction with a geometrical model in JUNO
C. Genster, et al.,
JINST 13 (2018) 03, T03003.
https://doi.org/10.1088/1748-0221/13/03/T03003
https://arxiv.org/abs/1906.01912
	
(13) Charge reconstruction in large-area photomultipliers,
M. Grassi, et al.,
JINST 13 (2018) 02, P02008.
https://doi.org/10.1088/1748-0221/13/02/P02008
https://arxiv.org/abs/1801.08690
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